Grouping data is one of the most important skills that you would require as a data analyst. Luckily, Pandas has a great function called GroupBy which is extremely flexible and allows you to answer many questions with just one line of code. In this tutorial, we’re going to understand the GroupBy function and subsequently answer […]
One of the key steps in NLP or Natural Language Process is the ability to count the frequency of the terms used in a text document or table. To achieve this we must tokenize the words so that they represent individual objects that can be counted. There are a great set of libraries that you […]
Honestly, knowing Python and knowing how to answer interview questions with Python can be two separate skills. I have bombed interviews due to not explaining my thought process when approaching a problem. Often interviewers are not concerned that you arrive at a perfect answer in the limited time that you are given. They put more […]
One of the best things about Python is the sheer number of libraries that can easily be used. You can create correlation tables and statistic summary tables similar to what you find in the data analysis tool kit or in the Pandas library in Python with the native functions. How to create a correlation table:1. […]
Here is a list of common Power BI interview questions that are open ended and use to demonstrate the overall knowledge of the applicant. These questions are real and allow you to find intermediate level Power BI practitioners. Answering 6 out of the 10 question would demonstrate a confident familiarity with Power BI. 1. Where […]
How to Calcuate MTD, QTD and YTD in Power BI Calculating the month to date, year to date, or quarter to date is not as daunting as you think in DAX. However, there are few stepst that are needed before you can get these function to provide the information that you are looking for. These […]
You can quickly get uniform text accross your visuals by using the Power BI themes customization. In just a few steps you will be able to quickly alter the text family. Step 1: Go to Theme Options The first step you will need to take is to navigate to the top ribbon in Power BI […]
We are using an airline passenger dataset that you can get from Kaggle, which shows us the data from 1949 to 1960 for airline passengers. Please find the PBIX file on my Github Load in my dependencies, which are pandas and numpy, and Matplotlib. I’m just going to import those in. And then once I […]
Getting a rolling average should be an native function in Power BI. However maybe at the time you read this, there will already be a a feature added. However, in the meantime lets dive into dynamic rolling average using Power BI. Here are the list of functions will be using the to create our calculation: […]
Creating a moving average is a fundamental part of data analysis. You can easily create moving averages with Python data manipulation package. Pandas has a great function that will allow you to quickly produce a moving average based on the window you define. This window can be defined by the periods or the rows of […]